voyagerpy.plotting.plot.plot_single_barcode_data#

voyagerpy.plotting.plot.plot_single_barcode_data(adata: AnnData, y: int | str, x: int | str | None = None, obsm: str | None = None, cmap: str | None = None, ax: Axes | None = None, legend: bool = False, color_by: str | None = None, x_label: str | None = None, y_label: str | None = None, **kwargs) → Axes#

Plot barcode data on a single axis.

Parameters:

  • adata (AnnData) – The annotated data matrix.

  • y (Union[int, str]) – The column name for the data to show on the y-axis.

  • x (Union[int, str, None], optional) – The column name for the data to show on the x-axis, by default None.

  • obsm (Optional[str], optional) – The obsm to use. If None, use adata.obs, by default None.

  • cmap (Optional[str], optional) – The colormap to use, by default None

  • ax (Optional[Axes], optional) – The axis to draw on, by default None. If None, create a new figure and axis.

  • legend (bool, optional) – Whether to draw a legend, by default False.

  • color_by (Optional[str], optional) – The column name to color by, by default None.

  • x_label (Optional[str], optional) – The label to show on the x-axis, by default None. If None, use x.

  • y_label (Optional[str], optional) – The label to show on the y-axis, by default None. If None, use y.

  • **kwargs –

    Keyword arguments to pass to the corresponding plotting function, which is one of

    -scatter(). -simple_violinplot(). -grouped_violinplot().

Returns:

The axis containing the plot.

Return type:

Axes

Raises:

Note

If y is categorical and x is continuous, a horizontal grouped violinplot is drawn. If y and x are both continuous, a scatterplot is drawn. If y is continuous and x is categorical, a grouped violinplot is drawn. If y is continuous and x is None, a simple violinplot is drawn.

See also

simple_violinplot(), grouped_violinplot(), scatter(), plot_barcode_data()